The final poll based forecast for the Republican two-party vote was 46.8%.Calculating
our poll based forecast, we combine and damp raw poll data. This
forecast is incorporated in the Pollyvote with a weighting of 25%.
Combining pollsPolls
conducted by reputable survey organizations at about the same time
often show considerable variations in results. We address this problem
by using the RCP poll average of realclearpolitics.com to calculate the Republican share of the two-party vote1. As shown by Cuzán, Armstrong & Jones (2005) for the 2004 election, combining reduced the forecast error of polls. Damping pollsEvidence
from the literature shows that polls, in particular early in the
campaign, are not reliable in predicting election outcomes but tend to
overestimate the extent to which a candidate leads. To deal with these
uncertainties, we added a damping factor to the RCP poll average. Damping is used to make forecasts more conservative in situations involving high uncertainty. Our poll damping is based on research conducted by Campbell (1996)
who showed that polls have to be discounted in order to achieve more
reliable forecasts. Performing a regression analysis on historical poll
data for the elections from 1948 to 2004, he derived a formula for
discounting the polls according to their distance from Election Day.
Campbell provided Polly the formula, along with a list of damping factors that vary by the number of days left before the election.
Currently, polls are discounted with a damping factor of ${factor}.
Applying this factor, we calculate Polly's discounted poll based
forecast thus: Polly's poll based forecast =
((Latest RCP polling average - 50) * (1 - [damping factor])) + 50 =
((46.1 - 50) * (1 - 0.17)) + 50 = 46.8
| Latest RCP polling average | 46.1 | Damping factor
| 0.17 | | Polly's poll based forecast | 46.8 | Thus,
our poll damping discounts a candidate's lead in the two-party vote,
depending on the days left prior to election. The further away the
election day, the larger the damping. Such damped polls have been
shown to outperform sophisticated forecasting approaches like
prediction markets. Comparing damped polls to forecasts of the Iowa
Electronic Markets, Erikson and Wlezien (2008) showed that the damped polls outperformed both the winner-take-all and the vote-share markets. AcknowledgmentsThanks to Jim Campbell for providing the damping factors. References
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